Study of probability integration method parameter inversion by the genetic algorithm

Li, Peixian; Peng, Di; Tan, Zhiying; Deng, Kazhong

doi:10.1016/j.ijmst.2017.06.006

Cited by 24 publications

(15 citation statements)

References 4 publications

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“…One of the most used methods that relate the subsidence and time is the influence function developed by Stanisław Knothe [30]. The method assumes a normal distribution of influence.…”

Section: Subsidence Modellingmentioning

confidence: 99%

“…According to the classic approach to modelling mining-induced subsidence [18] there are three phases of deformation caused by longwall extraction: Phase I initial subsidence, starting with commencing excavation and finishing once the excavation face reaches the subsiding point; Phase II, the main subsidence that extends for a specified portion of time and is characterised by a steep increase of the subsidence; and Phase III, which follows the main subsidence and ends when the point reaches the asymptotic final subsidence. All phases are usually represented by simple model [30]. Initially, these parameters were estimated 60 years ago when mining exploitation was carried out with a low rate of advance (up to 2.5 m/day), most often in rock mass that had never been mined before and when geodetic surveys were performed in time intervals much longer than one day (usually every three or six months were available) [31].…”

Section: Subsidence Modellingmentioning

confidence: 99%

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Mining Deformation Life Cycle in the Light of InSAR and Deformation Models

et al. 2019

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The Sentinel-1 constellation provides an effective new radar instrument with a short revisit time of six days for the monitoring of intensive mining surface deformations. Our goal is to investigate in detail and to bring new comprehension of the mine life cycle. The dynamics of mining, especially in the case of horizontally evolving longwall technology, exhibit rapid surface changes. We use the classical approach of differential radar interferometry (DInSAR) with short temporal baselines (six days), which results in deformation maps with a low decorrelation between the satellite images. For the same time intervals, we compare the radar results with prediction models based on the Knothe–Budryk theory for mining subsidence. The validation of the results with ground levelling measurements reveals a high level of resemblance of the DInSAR subsidence maps (−0.04 m bias with respect to the levelling). On the other hand, aside from the explicable exaggeration, the location of the subsidence trough needs improvement in the forecasted deformations (0.2 km shift in location, a deformation velocity four times higher than in DInSAR). In addition, a time lag between DInSAR (compatible with extraction) and prediction is revealed. The model improvement can be achieved by including the DInSAR results in the elaboration of the model parameters.

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“…One of the most used methods that relate the subsidence and time is the influence function developed by Stanisław Knothe [30]. The method assumes a normal distribution of influence.…”

Section: Subsidence Modellingmentioning

confidence: 99%

Section: Subsidence Modellingmentioning

confidence: 99%

Mining Deformation Life Cycle in the Light of InSAR and Deformation Models

et al. 2019

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“…For inclined coal seam, as shown in Figure 13 [20], the in ection point of subsidence curve is not located directly above the boundary of the goaf but moved to the dip side point O; the angle between OC and horizontal line is another probability integration parameter θ 0 called propagation angle of extraction. S is the parameter of the point of subsidence in ection [22]. It is a distance of roof overhanging in the goaf boundary.…”

Section: Probability Integral Methodmentioning

confidence: 99%

“…eory of statistic model. Diagrammatic sketch for PIM parameters of inclined coal seam (© reproduced from Li et al[22] under the Creative Commons Attribution License (CC BY-NC-ND 4.0)).…”

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confidence: 99%

Study of Tunnel Damage Caused by Underground Mining Deformation: Calculation, Analysis, and Reinforcement

Yan

Dehua

2019

Advances in Civil Engineering

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Bayueshan tunnel (BYS) is an important construction crossing over coal mine goaf. The underground mining subsidence has led the tunnel cracked seriously in three years after it was built. In order to evaluate the coal mine influence and future stability of the tunnels, probability integral method (PIM) was used to calculate the tunnel deformation. PIM is an experience function method based on random medium theory which is used widely in China. With the parameters analyzed, the tunnels’ subsidence was calculated. The results show that it can interpret the tunnel damage well, and the maximum normal strain positions fit the damaged tunnel positions well. It proved that PIM can be used to evaluate the tunnel’s radial deformation caused by underground coal excavation. In order to maintain tunnels to keep a long-term stability, the future deformation was calculated in case the coal excavation continues. It shows that the tunnel would be cracked again if the excavation continued. Other reasons such as the old goaf deformation and water and vehicle dynamic load are also important reasons for the tunnels’ deformation. In order to keep traffic safety, it needs to reinforce the cracked foundation under the tunnel. Then, grouting injection was proposed to reduce the old goaf deformation under the tunnels. If the fracture zone under the tunnels disturbed by the dynamic traffic load, the old goaf will face a risk of sudden collapse. So, to ensure the grouting effect, the grouting depth should be deeper than the sum of traffic load influence depth and height of coal mine caved fissure zone. The grouting scope should keep all the crack rock area under the tunnel from being disturbed by the dynamic traffic load. This design can reduce the sudden collapse risk of the goaf and reduces the vehicles’ load disturbance on the cracked rock. The researched technology provides an engineering guidance to tunnel subsidence calculation, stability evaluation, and maintenance in complex geological and engineering situations.

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“…Crossover operation is one of the three basic genetic operators used in genetic algorithm (Li et al, 2017), which plays a very important role in improving the quality of the solution population. This article adds crossover operation to original PSO and increases the diversity of information.…”

Section: Optimal Placement Of the Piezoelectric Actuatorsmentioning

confidence: 99%

Optimal placement and active vibration control for piezoelectric smart flexible manipulators using modal H₂ norm

Yang

et al. 2018

Journal of Intelligent Material Systems and Structures

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The optimal placement and active vibration control for piezoelectric smart single flexible manipulator are investigated in this study. Based on the assumed mode method and Hamilton’s principle, the dynamic equation of the piezoelectric smart single flexible manipulator is established. Then, the singular perturbation method is adopted and the coupled dynamic equation is decomposed into slow (rigid) and fast (flexible) subsystems. After that, the couple optimal placement criterion of piezoelectric actuators is proposed on the base of modal H2 norm of the fast subsystem and the change rate of natural frequencies. Using an improved particle swarm optimization algorithm, the optimal placement of piezoelectric actuators is realized. Subsequently, in order to verify the validity and feasibility of the presented optimal placement criterion, the composite controller is designed for the active vibration control of the piezoelectric smart single flexible manipulator. Finally, numerical simulations and experiments are presented. The results demonstrate that the piezoelectric smart single flexible manipulator system has a better single modal controllability and observability and has a good result on the vibration suppression using the optimization results of actuators. The proposed optimal placement criterion and method are feasible and effective.

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Study of probability integration method parameter inversion by the genetic algorithm

Cited by 24 publications

References 4 publications

Mining Deformation Life Cycle in the Light of InSAR and Deformation Models

Mining Deformation Life Cycle in the Light of InSAR and Deformation Models

Study of Tunnel Damage Caused by Underground Mining Deformation: Calculation, Analysis, and Reinforcement

Optimal placement and active vibration control for piezoelectric smart flexible manipulators using modal H₂ norm

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Study of probability integration method parameter inversion by the genetic algorithm

Cited by 24 publications

References 4 publications

Mining Deformation Life Cycle in the Light of InSAR and Deformation Models

Mining Deformation Life Cycle in the Light of InSAR and Deformation Models

Study of Tunnel Damage Caused by Underground Mining Deformation: Calculation, Analysis, and Reinforcement

Optimal placement and active vibration control for piezoelectric smart flexible manipulators using modal H2 norm

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Product

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Optimal placement and active vibration control for piezoelectric smart flexible manipulators using modal H₂ norm